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Structured Receptive Fields in CNNs [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Reason for update: i) Fix Reference for "Deep roto-translation scattering for object classification" by Oyallon and Mallat. ii) Fixed two minor typos. iii) Removed implicit assumption in equation (4) where scale is represented with diffusion time and adapted to rest of paper where scale is represented with standard deviation, to avoid possible ...
Zhongyu Lou +3 more
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Multi-Scale Receptive Field Detection Network
IEEE Access, 2019 Deep convolutional neural networks have contributed much to various computer vision problems including object detection. However, there are still many problems to be solved.
Haoren Cui, Zhihua Wei
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Perisaccadic remapping and rescaling of visual responses in macaque superior colliculus. [PDF]
PLoS ONE, 2012 Visual neurons have spatial receptive fields that encode the positions of objects relative to the fovea. Because foveate animals execute frequent saccadic eye movements, this position information is constantly changing, even though the visual world is ...
Jan Churan +2 more
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Inter-mosaic coordination of retinal receptive fields
Nature, 2021 The output of the retina is organized into many detector grids, called ‘mosaics’, that signal different features of visual scenes to the brain1–4. Each mosaic comprises a single type of retinal ganglion cell (RGC), whose receptive fields tile visual ...
Suva Roy +4 more
semanticscholar +1 more source
Shifting Receptive Fields [PDF]
Neuron, 2001 The very notion of a receptive field implies a defined, static region of sensitivity—for visual neurons, a region in retinotopic space. Other factors besides retinal stimulation (such as attentional state) may modulate neural responses, but the shape and position of the receptive field should remain fixed, permanently constrained by anatomical ...
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Auto-Selecting Receptive Field Network for Visual Tracking
IEEE Access, 2019 Recently, Convolutional Neural Networks (CNNs) have shown tremendous potential in the visual tracking community. It is well-known that the receptive field is a critical factor for CNN affecting performance.
Junfei Zhuang +4 more
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Transformable Dilated Convolution by Distance for LiDAR Semantic Segmentation
IEEE Access, 2022 LiDAR semantic segmentation is essential in autonomous vehicle safety. A rotating 3D LiDAR projects more laser points onto nearby objects and fewer points onto farther objects.
Jae-Seol Lee, Tae-Hyoung Park
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Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification [PDF]
, 2022 The classification of airborne laser scanning (ALS) point clouds is a critical task of remote sensing and photogrammetry fields. Although recent deep learning-based methods have achieved satisfactory performance, they have ignored the unicity of the receptive field, which makes the ALS point cloud classification remain challenging for the ...
arxiv +1 more source
Central auditory neurons have composite receptive fields [PDF]
, 2015 High-level neurons processing complex, behaviorally relevant signals are sensitive to conjunctions of features. Characterizing the receptive fields of such neurons is difficult with standard statistical tools, however, and the principles governing their ...
Gentner, T, Kozlov, A
core +1 more source
Adaptation-dependent synchronous activity contributes to receptive field size change of bullfrog retinal ganglion cell. [PDF]
PLoS ONE, 2012 Nearby retinal ganglion cells of similar functional subtype have a tendency to discharge spikes in synchrony. The synchronized activity is involved in encoding some aspects of visual input.
Hao Li, Wen-Zhong Liu, Pei-Ji Liang
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